Top Data & Analytics Jobs

Lead a small team of data engineers to build and operate high-volume ETL/ELT pipelines and analytics datasets for Search & Discovery. Drive experiment design and analysis, ensure data quality, observability, SLAs, security/compliance, and optimize systems for performance, cost, and scalability while partnering with Data Science, Engineering, and Product.

Lead digital analytics and measurement strategy for web and mobile, design and implement scalable measurement solutions (Adobe stack), build data layers and event schemas, implement JavaScript-based tracking, ensure data quality, analyze A/B tests, and partner with Product, Engineering, Marketing, and Data teams to drive actionable insights and improvements.

Advance investment data, reporting, and technology capabilities by designing scalable data pipelines, monitoring and resolving data exceptions, building reports and dashboards, supporting product management and UAT, improving automation and governance, and partnering cross-functionally to maintain data quality and documentation.

Support and execute eDiscovery workflows—data processing, hosting, analytics, review support, and production—while configuring RelativityOne workspaces, guiding junior staff, collaborating with US and global teams, and assisting client communications and cross-border data/privacy matters.

Lead and grow a social analytics team delivering measurement strategies, reporting frameworks, and actionable insights. Partner with client services to translate data into recommendations, drive automation and process improvements, manage team performance, utilization, and profitability, and support business growth through strong client relationships and scalable analytics operations.

Design, build, and maintain scalable data pipelines and architectures (ETL, data lake, MDM) using Snowflake and Talend Cloud. Ensure data quality and governance, enable AI-readiness, pilot AI/ML proofs-of-concept, support reporting (Tableau/Power BI), and manage data operations and external vendors.

Lead marketing performance analytics across paid, earned, and owned channels; track full-funnel metrics to revenue; partner on strategic planning and targets; manage ad-hoc analytics and executive/Board reviews; optimize lead scoring and attribution with rigorous validation; design interactive dashboards; support closed-loop marketing reporting and customer journey optimization via omni-channel activation and A/B testing.

Design, implement, and maintain Azure-based ELT/ETL pipelines and data architecture. Migrate and normalize source data into ADLS, enforce quality controls, source control, documentation, and self-service analytics. Optimize storage/processing, audit pipelines, and explore AI-assisted tooling.

Drive revenue operations analytics by building reliable data models and dashboards, querying large datasets in Snowflake, ensuring data integrity across the revenue tech stack, and delivering strategic insights to Sales, Marketing, and Customer Success using Looker, Domo, SQL, and scripting.

Document and analyze operational workflows, translate business requirements into decision trees and build specs, execute automation builds in internal tools, monitor automations, and communicate status while supporting cross-functional reporting and automation efforts.